Linkedin Thought Leadership logo

Linkedin Thought Leadership

Organization
Ootto-AI
linkedin-thought-leadership

Use when a founder, operator, or subject-matter expert needs a credible LinkedIn point of view based on work they can genuinely explain. Trigger phrases include "turn this lesson into a LinkedIn post", "what should I say on LinkedIn?", "build a founder point of view", "make this insight useful for buyers", and "plan a LinkedIn series". Do not use this to fabricate personal experience, create generic motivational posts, or run paid LinkedIn ads; use social-proof-mining for approved proof, campaign-brief for a launch message, and paid-social-brief for media.

Overview

PublisherOotto-AI
Repositoryclaude-content-skills
Skill namelinkedin-thought-leadership
Stars
264
Forks
53
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Ootto-AI on GitHub. Read the source before you install it.

Installation

Install the Linkedin Thought Leadership AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/linkedin-thought-leadership
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Ootto-AI/claude-content-skills.git /tmp/claude-content-skills
mkdir -p .claude/skills
cp -r /tmp/claude-content-skills/skills/linkedin-thought-leadership .claude/skills/linkedin-thought-leadership
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Thought Leadership in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Linkedin Thought Leadership on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Linkedin Thought Leadership is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

LinkedIn Thought Leadership

Turn real operating experience into a clear, useful perspective that earns attention without pretending expertise the author does not have.

1. Establish the author's right to say it

Ask what the author directly observed, built, tested, changed, or learned; who the post is for; and what evidence can be shown. Separate firsthand experience from a secondhand opinion. If the author cannot stand behind the claim, frame it as a question or choose a different source.

2. Find one teachable tension

Choose one costly misconception, surprising trade-off, operating decision, or lesson from the evidence. Explain why a reader in a similar situation should care now. The point is not to sound definitive; it is to give a useful way to make a decision.

3. Build the post around proof

Use a concrete situation, the decision made, the reasoning, the outcome or uncertainty, and the takeaway. Keep the opening specific enough to filter for the right reader. Add an example, process, or limitation when it makes the lesson more credible.

4. Design the conversation and follow-through

End with a question only if the author can meaningfully engage with answers. Otherwise use a modest action: save the framework, compare notes, or see the approved resource. Suggest comments the author can add from real context, and specify how to learn from responses rather than chasing impressions alone.

Hard rules

  • Do not invent founder stories, customer outcomes, job titles, or operating facts.
  • Avoid borrowed certainty: name limits, context, and trade-offs when they matter.
  • Never use engagement bait that asks for comments without a useful conversation.
  • Keep promotional claims secondary to the lesson and within approved proof.
  • Write in the author's actual level of authority, not a universal voice.

Failure modes

FailureDo this instead
The post is an abstract maximLead with a real decision or observed tension.
The insight becomes a disguised product pitchTeach the lesson first and use only an approved, relevant next step.
The author cannot defend every sentenceRemove the claim or qualify it with the real evidence.
Comments become a vanity loopAsk a specific question and capture recurring answers for social-listening.

Where it sits

Use social-listening and positioning-audit to find credible themes. Use social-proof-mining when a proof point requires approval. Use campaign-brief for launch communications and cross-platform-distribution when the LinkedIn post has a role in a broader plan.

Frequently asked questions

What does the Linkedin Thought Leadership AI skill do?

Use when a founder, operator, or subject-matter expert needs a credible LinkedIn point of view based on work they can genuinely explain. Trigger phrases include "turn this lesson into a LinkedIn post", "what should I say on LinkedIn?", "build a founder point of view", "make this insight useful for buyers", and "plan a LinkedIn series". Do not use this to fabricate personal experience, create generic motivational posts, or run paid LinkedIn ads; use social-proof-mining for approved proof, campaign-brief for a launch message, and paid-social-brief for media.

Why use Linkedin Thought Leadership on TypingMind?

Because you install it once and use it with any model. Linkedin Thought Leadership is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Linkedin Thought Leadership in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/linkedin-thought-leadership. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Linkedin Thought Leadership?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Linkedin Thought Leadership?

As many as you like. As long as a model supports skills, you can use Linkedin Thought Leadership with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Linkedin Thought Leadership AI skill free?

Yes. It is published on GitHub by Ootto-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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